Weak Diagnosability of Discrete-Event Systems

被引:4
作者
Cao, Lin [1 ]
Shu, Shaolong [1 ]
Lin, Feng [1 ,2 ]
Chen, Qijun [1 ]
Liu, Chengju [1 ]
机构
[1] Tongji Univ, Sch Elect & Informat Engn, Shanghai 201804, Peoples R China
[2] Wayne State Univ, Dept Elect & Comp Engn, Detroit, MI 48202 USA
来源
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS | 2022年 / 9卷 / 01期
基金
中国国家自然科学基金;
关键词
Communication delays; discrete-event systems (DESs); networked systems; packet losses; weak diagnosability; DISTRIBUTED DIAGNOSIS; SUPERVISORY CONTROL; ROBUST DIAGNOSIS; COMMUNICATION; VERIFICATION;
D O I
10.1109/TCNS.2021.3124159
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article investigates weak diagnosability of discrete-event systems. Although diagnosability has been extensively investigated in the literature, weak diagnosability is a new concept introduced in this article. While diagnosability requires that a fault can be diagnosed along all trajectories after its occurrence, weak diagnosability requires that there always exists at least one trajectory along which the fault can be diagnosed at any time after its occurrence. Weak diagnosability ensures that any fault can be diagnosed eventually (with probability 1) but requires less sensors. We develop algorithms to check weak diagnosability. We further investigate weak diagnosability under communication delays and packet losses. We show that while packet losses may impact negatively on weak diagnosability, communication delays will not. We illustrate the results using a practical example.
引用
收藏
页码:184 / 196
页数:13
相关论文
共 27 条
[1]   Weak Diagnosability of Discrete Event Systems [J].
Cao, Lin ;
Shu, Shaolong ;
Lin, Feng ;
Chen, Qijun ;
Liu, Chengju .
IFAC PAPERSONLINE, 2020, 53 (04) :338-343
[2]   Robust diagnosis of discrete-event systems against permanent loss of observations [J].
Carvalho, Lilian K. ;
Moreira, Marcos V. ;
Basilio, Joao C. ;
Lafortune, Stephane .
AUTOMATICA, 2013, 49 (01) :223-231
[3]   Robust diagnosis of discrete event systems against intermittent loss of observations [J].
Carvalho, Lilian K. ;
Basilio, Joao C. ;
Moreira, Marcos V. .
AUTOMATICA, 2012, 48 (09) :2068-2078
[4]  
Cassandras C.G., 2008, Introduction to Discrete Event Systems, V2nd ed.
[5]   Failure Detection Framework for Stochastic Discrete Event Systems With Guaranteed Error Bounds [J].
Chen, Jun ;
Kumar, Ratnesh .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2015, 60 (06) :1542-1553
[6]   Diagnosability of Hybrid Systems [J].
Diene, Oumar ;
Moreira, Marcos V. ;
Silva, Eduardo A. ;
Alvarez, Victor R. ;
Nascimento, Claudionor F. .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2019, 27 (01) :386-393
[7]   A polynomial algorithm for testing diagnosability of discrete-event systems [J].
Jiang, SB ;
Huang, ZD ;
Chandra, V ;
Kumar, R .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2001, 46 (08) :1318-1321
[8]   On the history of diagnosability and opacity in discrete event systems [J].
Lafortune, Stephane ;
Lin, Feng ;
Hadjicostis, Christoforos N. .
ANNUAL REVIEWS IN CONTROL, 2018, 45 :257-266
[9]   A fault tolerant control architecture for automated highway systems [J].
Lygeros, J ;
Godbole, DN ;
Broucke, M .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2000, 8 (02) :205-219
[10]   Template languages for fault monitoring of timed discrete event processes [J].
Pandalai, DN ;
Holloway, LE .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2000, 45 (05) :868-882